This pipeline maps genes, with mutation or copy number alteration AND this alteration is highly correlated with mRNA expression, to pathways curated in the KEGG and BIOCARTA databases. It identifies pathways significantly enriched with these genes. The pipeline also identifies pathways significantly enriched with marker genes of each expression subtype of cancer.
genes with mutation: identified by the Mutation_Significance pipeline
genes with copy number alteration: identified by the CopyNumber_Gistic2 pipeline
correlation between copy number and mRNA expression: identified by the Correlate_CopyNumber_vs_mRNA pipeline
marker genes and expression subtypes: identified by the mRNAConsensusClustering pipeline
There are 4 genes with significant mutation (Q value <= 0.1) and 222 genes with significant copy number alteration (Q value <= 0.25). The identified marker genes (Q value <= 0.01 or within top 2000) are 2000 for subtype 1, 2000 for subtype 2, 2000 for subtype 3. Pathways significantly enriched with these genes (Q value <= 0.01) are identified :
0 pathways significantly enriched with genes with copy number alteration or mutation.
0 pathways significantly enriched with marker genes of gene expression subtype 1
0 pathways significantly enriched with marker genes of gene expression subtype 2
0 pathways significantly enriched with marker genes of gene expression subtype 3
Pathway | Nof Genes | Nof CNV_Mut | Enrichment | P value | Q value |
---|---|---|---|---|---|
BIOCARTA_CHREBP2_PATHWAY | 44 | 5 | 3.5 | 0.0001 | 0.028 |
BIOCARTA_TOLL_PATHWAY | 37 | 4 | 3.3 | 0.0006 | 0.071 |
KEGG_UBIQUITIN_MEDIATED_PROTEOLYSIS | 137 | 7 | 2.3 | 0.0006 | 0.071 |
BIOCARTA_TEL_PATHWAY | 18 | 3 | 4 | 0.0009 | 0.073 |
BIOCARTA_RACCYCD_PATHWAY | 26 | 3 | 3.4 | 0.0026 | 0.089 |
PRKAG2,PPP2R2D,YWHAQ,PPP2R5E,PPP2R2A
CHUK,MAP2K4,IKBKB,EIF2AK2
BTRC,CUL1,UBE2D3,UBOX5,UBE2G2,UBE3C,UBE4A
RB1,KRAS,PTEN
CHUK,RB1,IKBKB
Pathway | Nof Genes | Nof Marker | Enrichment | P value | Q value |
---|---|---|---|---|---|
BIOCARTA_MAPK_PATHWAY | 87 | 17 | 1.2 | 0.001 | 0.18 |
KEGG_ADHERENS_JUNCTION | 75 | 15 | 1.2 | 0.0011 | 0.18 |
KEGG_FRUCTOSE_AND_MANNOSE_METABOLISM | 34 | 9 | 1.6 | 0.0017 | 0.19 |
BIOCARTA_ETS_PATHWAY | 18 | 6 | 1.9 | 0.0029 | 0.24 |
BIOCARTA_CARM_ER_PATHWAY | 35 | 8 | 1.4 | 0.0067 | 0.25 |
MEF2A,TGFB2,FOS,MAP3K8,MAP4K3,RIPK1,MAPK7,MAP3K13,MAP3K12,TRAF2,MAP3K2,RAC1,MAP2K1,MAPK10,MEF2D,RPS6KA3,RPS6KA4
WASF3,CTNNB1,RHOA,ACTN1,PARD3,ERBB2,PVRL1,SORBS1,RAC1,YES1,MLLT4,PTPRB,PTPN6,TCF7,SNAI1
ALDOA,SORD,PFKFB4,HK2,MTMR2,MTMR6,KHSRP,AKR1B1,FPGT
RBL1,HDAC5,FOS,SIN3A,ETS2,DDX20
ERCC3,NR0B1,PPARGC1A,HDAC5,HDAC4,PHB2,CARM1,HDAC6
Pathway | Nof Genes | Nof Marker | Enrichment | P value | Q value |
---|---|---|---|---|---|
KEGG_RIBOSOME | 87 | 19 | 1.3 | 0.0001 | 0.032 |
KEGG_MAPK_SIGNALING_PATHWAY | 267 | 39 | 0.75 | 0.0006 | 0.095 |
KEGG_ADHERENS_JUNCTION | 75 | 15 | 1.2 | 0.0011 | 0.095 |
KEGG_T_CELL_RECEPTOR_SIGNALING_PATHWAY | 108 | 19 | 1 | 0.0017 | 0.095 |
KEGG_ALZHEIMERS_DISEASE | 167 | 25 | 0.88 | 0.0015 | 0.095 |
RPL36AL,RPL14,RPL13,RPS27L,FAU,RPS18,RPS13,RPS10,RPL35,RPL27A,RPL10L,RPS27,RPS28,RPL10A,RPSA,RPL24,RPS6,MRPL23,RPL18A
MEF2C,JUN,PLA2G2E,HSPA1A,DUSP14,TGFBR1,TAOK3,MAP2K4,FGF6,NFKB1,NFKB2,MYC,CACNG4,FLNB,GADD45G,MAP3K12,MKNK2,PPP3CB,RPS6KA4,TGFB1,RELA,STK4,ARRB2,ARRB1,TRAF2,ELK1,CACNA2D1,NR4A1,CACNA2D4,ATF4,CACNA1F,CACNA1D,CHUK,AKT2,PPM1B,RASGRP4,RASGRP1,MAPK8IP2,MAPK8IP3
LMO7,FER,VCL,CSNK2A2,CSNK2A1,RHOA,ACTN4,CTNNA3,EP300,PARD3,CTNND1,PVRL4,IGF1R,TGFBR1,PTPN1
BCL10,RELA,JUN,VAV3,CBLC,NFKB1,PDCD1,PAK6,PAK4,RHOA,CHUK,AKT2,DLG1,RASGRP1,PPP3CB,PIK3R3,CD28,NFATC1,IL4
SNCA,RYR3,EIF2AK3,NDUFA4L2,NDUFV3,NDUFV2,CACNA1F,CACNA1D,UQCRC1,UQCRFS1,NDUFB10,CYCS,NDUFC2,COX4I1,NDUFB4,NDUFB7,NDUFB9,ATP5G1,PPP3CB,CALML6,NDUFA3,CAPN1,NCSTN,SDHD,APBB1
Pathway | Nof Genes | Nof Marker | Enrichment | P value | Q value |
---|---|---|---|---|---|
KEGG_NEUROACTIVE_LIGAND_RECEPTOR_INTERACTION | 272 | 38 | 0.7 | 0.0012 | 0.4 |
KEGG_PYRIMIDINE_METABOLISM | 98 | 17 | 1 | 0.0029 | 0.48 |
KEGG_PURINE_METABOLISM | 158 | 23 | 0.75 | 0.0069 | 0.6 |
KEGG_TYROSINE_METABOLISM | 42 | 9 | 1.3 | 0.0073 | 0.6 |
BIOCARTA_GH_PATHWAY | 28 | 6 | 1.3 | 0.027 | 0.78 |
GRIN3B,LTB4R,GRIN2C,CHRNA4,CHRNA2,HTR6,GH1,CHRNB2,CHRNE,CHRNG,CCKAR,MCHR2,NMUR1,GRM3,NPY2R,NPFFR2,MAS1,PLG,P2RY10,HTR2C,F2RL2,GRIK5,VIPR1,GHRHR,SCTR,GALR3,GALR2,NTSR1,NTSR2,CYSLTR1,DRD3,DRD4,GABRE,GRIN1,ADRA1B,CHRM5,OXTR,CHRNA10
NP,NME4,NME5,POLE4,POLE2,ENTPD8,ENTPD6,UPB1,POLD1,TXNRD2,POLR2K,UPP1,POLR2B,TYMS,DCTD,POLR3G,POLR3B
ADCY8,NP,NME4,NME5,PDE5A,PDE6A,POLE4,POLE2,ENTPD8,ENTPD6,ENTPD2,GUCY2C,POLD1,GUK1,IMPDH1,PDE9A,POLR2K,POLR2B,PDE1B,POLR3G,NPR2,POLR3B,PDE2A
TH,ADH1C,ADH6,COMT,THPO,GSTZ1,HEMK1,METTL2B,AOC2
HNF1A,PIK3CA,PRKCA,MAPK1,GH1,JAK2
Let genes with copy number alteration or mutation be query genes. Let marker genes of specific identified subtypes be query genes. The Enrichment is calculated as:
-
Enrichment = log2 (# of query genes in the pathway/# No of query genes) - log2 (# of genes in the pathway/# of human genes)
The statistical signficance of the pathways that are enriched with genes with copy number alteration or mutation, and the pathways that are enriched with markers genes of specific identified subtypes is measured by P value.
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P value = Fisher exact P value
The Q value is for adjusting P value for multiple testing. A public available R package is used to calculate the Q value.
This is an experimental feature. The full results of the analysis summarized in this report can be downloaded from the TCGA Data Coordination Center.